Container throughput forecasting using a novel hybrid learning method with error correction strategy

作者：

Highlights：

• A hybrid learning model based on error correction strategy is firstly proposed.

• This model combines data processing method and artificial intelligence algorithm.

• A rigorous model evaluation system is designed to test the proposed model.

• The proposed model demonstrates higher accuracy than comparison models.

摘要

•A hybrid learning model based on error correction strategy is firstly proposed.•This model combines data processing method and artificial intelligence algorithm.•A rigorous model evaluation system is designed to test the proposed model.•The proposed model demonstrates higher accuracy than comparison models.

论文关键词：Container throughput forecasting,Butterfly optimization algorithm,Hybrid forecasting model,Error correction strategy

论文评审过程：Received 12 January 2019, Revised 20 June 2019, Accepted 15 July 2019, Available online 19 July 2019, Version of Record 9 September 2019.

论文官网地址：https://doi.org/10.1016/j.knosys.2019.07.024